LLM Reference
Microsoft Foundry

Using Cohere Embed v4.0 on Microsoft Foundry

Implementation guide · Cohere Embed · Cohere

Serverless

Microsoft Foundry exposes Cohere Embed v4.0 through model ID cohere-embed-v4-0. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.

Last refreshed 2026-07-01. Next refresh: weekly.

Quick Start

  1. 1
    Create an account at Microsoft Foundry and generate an API key.
  2. 2
    Use the Microsoft Foundry SDK or REST API to call cohere-embed-v4-0 — see the documentation for request format.
  3. 3
    You'll be billed $0.12/1M input. See full pricing.
API PortalDocumentationPricing

Code Examples

See Microsoft Foundry documentation for integration details.

Pricing on Microsoft Foundry

TypePrice (per 1M)
Input tokens$0.12

Capabilities

Multimodal

About Cohere Embed v4.0

Latest multimodal embedding model supporting text, images, and mixed content (e.g., PDFs). Embed v4.0 offers variable embedding dimensions (256, 512, 1024, 1536 default) and supports multiple similarity metrics (Cosine, Dot Product, Euclidean Distance). Ideal for semantic search, classification, and clustering across multimodal data.

Full model details →

Model Specs

Released2025-04-01
Context128k
ArchitectureEncoder Only

More Models on Microsoft Foundry

Cohere Embed English v3.0Cohere Embed Multilingual v3.0
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Also available on(2)

Vercel AI Gateway$0.12/1MCohere API
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Provider

Microsoft Foundry
Microsoft Foundry

Microsoft

Redmond, Washington, United States